How Tech Built a Gender Gap
Modern computing carries an early signal about who belonged and who did not. In 1973, researchers at the University of Southern California chose a cropped Playboy image of Lena Söderberg as a standard test picture for image processing. Over time, that image became a routine part of computer science culture. What many men treated as an inside joke or harmless tradition often told women they were entering a field built around male comfort.
That message showed up in classrooms and workplaces long after the original decision. Women entering technical spaces often found themselves surrounded by behavior that made them feel like guests instead of peers. For some, the problem was not one dramatic incident but a steady sense of exclusion. A lab full of men laughing over a centerfold in an academic setting made clear that technical skill alone would not guarantee belonging.
The damage spread beyond culture into the products themselves. When teams are drawn from a narrow slice of life, they miss needs that would be obvious to a broader group. Health apps tracked calories or alcohol but ignored menstrual cycles. Digital assistants could offer help for a heart attack yet fail to respond well to questions about sexual assault or domestic violence. These gaps were not random mistakes. They reflected the limited experiences of the people making the decisions.
Power in tech also grew through informal networks that were hard for women to enter. Deals, advice, and funding often moved through private social circles, exclusive trips, and male-dominated gatherings where women were ignored, objectified, or made uncomfortable. That helped keep money and influence concentrated in male hands. By 2016, women-led startups received only a tiny share of venture capital, even though many studies showed that diverse leadership improved performance.
The result is often defended with the language of merit. Yet hiring and funding rarely operate as neutral tests of talent. People tend to trust those who look familiar, think like them, and move comfortably through the same social spaces. Once that pattern becomes normal, exclusion can masquerade as fairness. A future shaped by software, artificial intelligence, and automation will mirror those same blind spots unless women are fully included in building it.
Full summary available in the Readsome app
